BugZod9K

BugZod9K — CS2 Stats

IN76561198425029805[U:1:464764077]Steam profile ↗✓ No bans

1,059Tracked matches28%Win rate2020Tracked since
2,551Hours in CS13Hrs last 2 wks
CSDB Rating3.3 LearningSupport
Premier CS Rating13,575Blue band · top ~35.9% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,575 -2,852 4 Jul – 8 Nov · 5 days played
13,29916,724peak 16,7244 Jul8 Nov
16,724Peak Premier in tracked matches
38Days played since 2026-07-04

Premier CS Rating

  • 3,149 below peak (16,724)
  • Next: Purple band at 15,000 — 1,425 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate38.1%42.0%44.4%6.3% short
Shot accuracy14.6%9.6%11.9%above
Kill/death ratio0.900.981.030.13 short
Match win rate44.2%43.8%45.2%1.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBugZod9KPREMIER13,575 · Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning46
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateTWLLWLLLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +2.2pp headshot accuracy · −36ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 624ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 642ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3 against its own average).

Aim2.7
Utility6.2
Positioning4.6
Opening Duels0.5
Clutch1.4

Strong T-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 54% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.7
Positioning4.6
Utility6.2
Mechanics2.3
Opening Duels4.9
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time647ms−59ms
first ⅓ avg 706ms → last ⅓ avg 647ms
Headshot accuracy17.8%+0.7%
first ⅓ avg 17.1% → last ⅓ avg 17.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–11 · dust2, 7 Nov →
50%Best headshot accuracy · 2–13 · dust2, 27 Jul →
477msFastest reaction time · 13–9 · dust2, 26 Oct →
13–0Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 60% over 10dust2Weakest map · 33% over 55
MapGradePlayedRecordWin rateAvg rating
dust2D5518–3733%-0.02
infernoB147–750%0.01
mirageA106–460%0.00
ancientC83–538%-0.03
anubisD62–433%-0.02
cache—31–233%0.00
vertigo—21–150%0.06
nuke—20–20%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 55). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,898Lifetime kills
0.90K/D
3,834Matches
44.2%Match win rate · Top 50% of Blue band
38.1%Headshot %
14.6%Shot accuracy · Top 25% of Blue band
8,642MVPs
1,582Hours (in match)
2,689Bombs planted
1,309Bombs defused

Most-used weapons

AK-4719,921
AWP12,156
SG 5533,120
AUG2,094
MAC-101,741
MP91,454

Lifetime map wins

9,437dust2
8,309inferno
1,895nuke
1,720train
735vertigo
180cbble
21lake
18office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

45Matches
40%Win rate
1.08Avg K/D
79.3ADR
45%Headshot %

Clutches & streaks

27%1v1 clutch win
11%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21362%1.2315.8
Inferno862%1.2117.5
Ancient617%0.8115.0
Mirage50%0.9717.8
Overpass3100%1.2719.7
Anubis333%1.0915.3
Cache20%0.7516.5
Nuke10%1.4124.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy
29.0%Accuracy (enemy spotted)
33.9%Spray accuracy
60.3%Counter-strafing
13.1°Preaim
645msReaction time
69.4%T opening success
24.2%CT opening success
0.63Enemies flashed / flash
12.9%Flash assists
12.05HE damage / grenade
5.97Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0639° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 55 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.0320%14 Nov →
dust213–2-0.0117%14 Nov →
dust210–13-0.088%12 Nov →
dust26–13-0.0315%11 Nov →
dust213–7-0.089%11 Nov →
dust21–13-0.0524%8 Nov →
dust210–13-0.0815%8 Nov →
anubis6–13-0.0526%8 Nov →
ancient13–6-0.0519%8 Nov →
dust213–110.1719%7 Nov →
dust28–13-0.0225%7 Nov →
dust24–130.0117%7 Nov →
dust29–13-0.0415%7 Nov →
cache11–13-0.0211%31 Oct →
dust28–13-0.0411%31 Oct →
dust213–9-0.0813%26 Oct →
dust26–130.0328%24 Oct →
dust24–13-0.079%24 Oct →
dust25–13-0.0113%24 Oct →
dust23–13-0.0110%24 Oct →
anubis8–130.0218%18 Oct →
ancient13–8-0.0220%18 Oct →
ancient10–13-0.0216%18 Oct →
dust23–13-0.0717%18 Oct →
inferno13–40.0017%18 Oct →
dust29–13-0.0019%17 Oct →
inferno6–13-0.0120%10 Oct →
dust213–40.0125%10 Oct →
mirage12–160.0018%10 Oct →
mirage6–130.0228%4 Oct →
dust213–6-0.0222%30 Sept →
dust25–13-0.0136%27 Sept →
dust28–13-0.0413%27 Sept →
vertigo10–130.0517%27 Sept →
dust212–120.0628%25 Sept →
dust27–130.0216%25 Sept →
dust211–13-0.0316%21 Sept →
dust213–50.0316%21 Sept →
dust27–13-0.0717%20 Sept →
dust27–130.0431%20 Sept →
dust26–130.0816%20 Sept →
dust213–90.0923%20 Sept →
anubis13–0-0.016%19 Sept →
dust25–13-0.0722%19 Sept →
dust213–10-0.0514%19 Sept →
dust27–13-0.017%19 Sept →
dust213–8-0.0317%15 Sept →
dust213–9-0.0715%15 Sept →
inferno13–90.0331%14 Sept →
inferno3–13-0.0830%12 Sept →
mirage13–3-0.0017%12 Sept →
inferno6–13-0.0325%12 Sept →
dust28–130.0128%12 Sept →
inferno13–7-0.0020%12 Sept →
dust213–7-0.0630%12 Sept →
nuke12–12-0.0423%5 Sept →
dust26–130.0019%5 Sept →
ancient11–130.0220%5 Sept →
dust213–20.0925%29 Aug →
cache13–11-0.0117%29 Aug →
cache11–130.039%29 Aug →
inferno9–130.0322%22 Aug →
dust213–80.0211%22 Aug →
nuke7–13-0.0716%22 Aug →
ancient13–70.0327%22 Aug →
mirage8–13-0.0218%22 Aug →
dust27–13-0.017%16 Aug →
mirage15–15-0.0315%16 Aug →
inferno13–90.0112%16 Aug →
ancient10–13-0.0319%16 Aug →
dust213–3-0.0620%8 Aug →
ancient2–13-0.1113%2 Aug →
inferno11–13-0.0126%2 Aug →
anubis13–11-0.0217%2 Aug →
inferno12–12-0.0113%1 Aug →
dust213–3-0.0321%1 Aug →
vertigo13–40.0620%29 Jul →
dust212–12-0.0528%29 Jul →
mirage13–50.043%27 Jul →
anubis6–13-0.068%27 Jul →
dust22–13-0.0750%27 Jul →
dust210–130.0319%27 Jul →
dust25–13-0.0421%26 Jul →
dust26–13-0.0726%26 Jul →
inferno3–130.0821%26 Jul →
dust23–13-0.038%18 Jul →
dust27–13-0.0314%18 Jul →
anubis7–13-0.017%18 Jul →
mirage13–50.055%18 Jul →
dust27–13-0.0112%12 Jul →
ancient10–13-0.039%12 Jul →
inferno13–110.0436%10 Jul →
mirage13–60.0321%10 Jul →
dust210–130.0122%9 Jul →
inferno13–60.0716%8 Jul →
dust213–9-0.0214%8 Jul →
dust213–80.0213%5 Jul →
inferno13–110.0114%5 Jul →
mirage13–11-0.0520%4 Jul →
mirage13–11-0.013%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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